DNA Words Based on an Enhanced Algorithm of Multi-objective Particle Swarm Optimization in a Continuous Search Space
In this paper, particle swarm optimization algorithm in a continuous search space is implemented to generate a set of DNA words. A single swarm with 20 particles is used to find the best solution (gbest). Here, each particle has a number of sub-particles which is referred as the number of seque...
محفوظ في:
المؤلفون الرئيسيون: | Selvan, K.V, Muhammad, M.S., Masra, S.M.W., Zuwairie, Ibrahim, Kian, Sheng Lim |
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التنسيق: | E-Article |
اللغة: | English |
منشور في: |
IEEE
2011
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الموضوعات: | |
الوصول للمادة أونلاين: | http://ir.unimas.my/id/eprint/17802/1/DNA%20Words%20Based%20on%20an%20Enhanced%20Algorithm%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/17802/ http://ieeexplore.ieee.org/document/5953867/ |
الوسوم: |
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مواد مشابهة
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